GraphQL Ruby Information Disclosure Scanner

GraphQL Ruby is an implementation of the GraphQL query language in Ruby, widely used by developers for building APIs. It is often integrated into Ruby on Rails applications to enable powerful querying capabilities. The software is typically used in web development environments where interactions with data-rich applications are necessary. Developers and companies needing an efficient and flexible API solution frequently adopt it. Its primary purpose is to facilitate the communication between client-side applications and server-side data handling in a more structured and organized manner. The product is highly appreciated for its ability to handle complex queries and return precise data sets.

Information Disclosure in software like GraphQL Ruby involves exposing sensitive data to unauthorized entities. This can occur when endpoint responses inadvertently return more information than necessary. The vulnerability often lies in the failure to properly configure schemas or queries, allowing unauthorized data access. Such weaknesses can be exploited to access sensitive business logic or critical application data. In some cases, the use of introspection queries can surface unintended structural information about the API. Overall, any improper exposure of data due to relaxed security configurations constitutes an information disclosure risk.

This vulnerability specifically targets the GraphQL Ruby setup, where the endpoint "/graphql" may allow query introspection. The vulnerable endpoints include paths like "/graphql", "/api/graphql", or "/query". These endpoints return responses indicating whether certain query patterns are improperly parsed. For a successful attack, a crafty query is sent to identify misconfigurations in how GraphQL operations, such as field applications and fragment spreads, are processed. Notably, if the server's response contains specific rejection messages, it indicates an exploitable configuration.

Exploiting such an information disclosure vulnerability can lead to unauthorized access to sensitive application data. Malicious actors might use the exposed information for crafting more potent attacks, potentially escalating their access privileges. The data revealed could include sensitive endpoints, business logic details, or structural API insights, all increasing security risks. Over time, continued exploitation might result in data breaches or unauthorized data alterations. Ensuring robust security protocols are in place is crucial to mitigate these risks.

REFERENCES

• https://github.com/dolevf/graphw00f/blob/main/graphw00f/lib.py